As a selected participant, you will gain access to the full optimization framework, hands-on support from our development team, and opportunities to influence our product roadmap. Our decision will be based in part on your compute requirements, use case(s), and commitment to collaborative feedback.
Be among the first to test sub-quadratic attention, memory-efficient checkpoints, and our latest sparse-update methods on real hardware.
Work directly with our engineering team to integrate Atomic Speed into your training cluster—whether you’re on-prem, in a private datacenter, or in the cloud.
Track loss curves, step-time breakdowns, and compute-cost dashboards so you can see exactly where time and money are being saved.
Provide feedback that will influence which advanced optimizers, mixed-precision schedules, or pruning strategies we prioritize next.
No proprietary SDK—just link your Hugging Face model repo and dataset, and Atomic Speed handles the rest.
A lightweight UI showing your projected GPU-hour savings and epoch-by-epoch comparison against a baseline training run.
Direct Slack channel access to our engineers for real-time support.
Special Beta-only rates on any paid credits or early-access tiers
